Irreversibility Analysis of Feature Transform-Based Cancelable Biometrics View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Christian Rathgeb , Christoph Busch

ABSTRACT

Technologies of cancelable biometrics protect biometric data by applying transforms to biometric signals which enable a comparison of biometric templates in the transformed domain. Thereby biometric data is permanently protected, preventing identity fraud and privacy violation. The inversion of transformed biometric signals must not be feasible for potential attackers, i.e. irreversibility must be guaranteed. In this work we propose a theoretical estimation of the irreversibility of generic cancelable biometric systems. Based on a general formalization of cancelable feature transforms the complexity of reverse engineering is evaluated, quantifying the security provided by the respective approach. In addition, examples are presented which clearly point at the security provided by existing approaches. More... »

PAGES

177-184

References to SciGraph publications

  • 2009. Cancelable Iris Biometrics Using Block Re-mapping and Image Warping in INFORMATION SECURITY
  • 2010. Secure Iris Recognition Based on Local Intensity Variations in IMAGE ANALYSIS AND RECOGNITION
  • 2011-12. A survey on biometric cryptosystems and cancelable biometrics in EURASIP JOURNAL ON INFORMATION SECURITY
  • Book

    TITLE

    Computer Analysis of Images and Patterns

    ISBN

    978-3-642-40245-6
    978-3-642-40246-3

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-40246-3_22

    DOI

    http://dx.doi.org/10.1007/978-3-642-40246-3_22

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1050016838


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